code: def log_test_data(self):
      data = [
          dict(
              point=gs.array([[EULER, 0.0], [2.0, EULER**3]]),
              base_point=gs.array(
                  [[EULER**3, 0.0], [4.0, EULER**4]]
              ),
              expected=gs.array(
                  [[-2.0 * EULER**3, 0.0], [-2.0, -1 * EULER**4]]
              ),
          ),
          dict(
              point=gs.array(
                  [
                      [[gs.exp(-2.0), 0.0], [0.0, gs.exp(2.0)]],
                      [[gs.exp(-3.0), 0.0], [2.0, gs.exp(3.0)]],
                  ]
              ),
              base_point=gs.array(
                  [[[1.0, 0.0], [-1.0, 1.0]], [[1.0, 0.0], [0.0, 1.0]]]
              ),
              expected=gs.array(
                  [[[-2.0, 0.0], [1.0, 2.0]], [[-3.0, 0.0], [2.0, 3.0]]]
              ),
          ),
      ]
      return self.generate_tests(data)
  
imports: import math
  import geomstats.backend
  from geomstats.test.data import TestData
  from .base import VectorSpaceOpenSetTestData
  from .invariant_metric import InvariantMetricMatrixTestData
  from .lie_group import MatrixLieGroupTestData
  from .pullback_metric import PullbackDiffeoMetricTestData
  from .riemannian_metric import RiemannianMetricTestData
label_desc: Use image node_id 5 for calling the CholeskyMetric2TestData obj's underlying member method code with example usage: obj.log_test_data() and returns: self